ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 1 dimension(s) and the array at index 1 has 2 dimension(s)
目录
问题：
import numpy as np
create a 1d array
ar1 = np.array([1, 2])
create a 2d array
ar2 = np.array([[0, 0, 0],
[1, 1, 1]])
hstack the arrays
ar_h = np.hstack((ar1, ar2))
display the concatenated array
print(ar_h)
解决：
import numpy as np
create a 1d array
ar1 = np.array([[1, 2],
[1, 2]])
create a 2d array
ar2 = np.array([[0, 0, 0],
[1, 1, 1]])
hstack the arrays
ar_h = np.hstack((ar1, ar2))
display the concatenated array
print(ar_h)
*********************************************************************
[[1 2 0 0 0]
[1 2 1 1 1]]
完整错误：
10 # display the concatenated array
11 print(ar_h)
in hstack(*args, **kwargs)
D:\anaconda\lib\site-packages\numpy\core\shape_base.py in hstack(tup)
341 # As a special case, dimension 0 of 1-dimensional arrays is "horizontal"
342 if arrs and arrs[0].ndim == 1:
--> 343 return _nx.concatenate(arrs, 0)
344 else:
345 return _nx.concatenate(arrs, 1)
in concatenate(*args, **kwargs)
ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 1 dimension(s) and the array at index 1 has 2 dimension(s)
Original: https://blog.csdn.net/zhongkeyuanchongqing/article/details/121192926
Author: Data+Science+Insight
Title: ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 1
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